Ron Vainshtein

Computer Vision Researcher.

[Ron Vainshtein @ronvain]

Super excited to share our work "NeRN" where we create neural representations for the weights of a specific neural network!

[Maor Ashkenazi @AshMaor]

I’m very excited to share our new work titled “NeRN - Learning Neural Representations for Neural Networks”. Preprint and code are available now😊🧵
@ZoharRimon @ronvain @levishir667 @EladRichardson @PinkyMintz

Paper: https://t.co/TUYgOhVrxk
Code: https://t.co/dYHqyHIY7h

[1/9]

[Chen Tessler @ChenTessler]

Animation 🤝 Robotics

ProtoMotions GTC 2026 release — bridging the gap between digital humans and real humanoid robots.

Train in simulation. Deploy on hardware. One framework, one codebase.

https://t.co/33aV9hj4DH

[Zohar Rimon @ZoharRimon]

Just arrived at San Diego for #Neurips2025 ✈️

If you're interested in
- Tactile sensing 🫰
- Uncertain decision making ↔️
- Medical robotics 🩺

Reach out or come see if you process touch better than AI at our poster on Fri 16:30-19:30 #2206.

@NeurIPSConf

[Chen Tessler @ChenTessler]

1. Train a behavior foundation model with a rich token-based representation (eg, MaskedMimic).
2. Fine tune a state-based tokenizer using RL, leveraging the BFM for meaningful gradients.

=> Converge 6x faster, 50x less params, dramatically improved robustness.

[Zohar Rimon @ZoharRimon]

Behavior models are great — but getting them to do *exactly* what you want takes *tons* of prompt hacking (just like vision-language models) 😪

No more, with our new work 📰 -
Task Tokens: A Flexible Approach to Adapting Behavior Foundation Models

[Ron Vainshtein @ronvain]

✨The potential of Task Tokens is truly exciting! Imagine seamlessly adapting behavior models to various tasks with just a few learned params - 5 tasks using just ~1M vs standard HRL using ~125M.
This is a promising step towards more flexible and generalizable AI behavior😊
10/10

[Ron Vainshtein @ronvain]

🚀Using BFMs to learn a new task with less than 0.1% additional params while still enabling user input??🚀
Task Tokens: A Flexible Approach to Adapting Behavior Foundation Models
📄: https://t.co/Q5sA9eMhUM
💻: https://t.co/N8TDfJDms5
w/@ZoharRimon @shiemannor @ChenTessler
🧵1/10

[Ron Vainshtein @ronvain]

As our base BFM we use the great work MaskedMimic by Tessler et al. https://t.co/uJMAege9Wz, although our approach can be extended to other BFMs with a transformer-based architecture
9/10

[Chen Tessler @ChenTessler]

Excited to share our latest work! 🤩

Masked Mimic 🥷: Unified Physics-Based Character Control Through Masked Motion Inpainting

Project page: https://t.co/rn17ifIUGA

with: Yunrong (Kelly) Guo, @ofirnabati, @GalChechik and @xbpeng4.

@SIGGRAPHAsia (ACM TOG).

1/ Read along! 😃

[Ron Vainshtein @ronvain]

@Nicolascole77 @threadreaderapp unroll

[Jim Fan @DrJimFan]

Parallels between AI and #LK99:
- Both are modern-day alchemy. Just try more recipes until eureka.
- The holy grail is simpler than we expected.
- Lots of hyperparameters to tune.
- Random seeds matter.
- Arxiv is the new battlefield.
- Scaling up is the key.
- Tend to break the internet with every update.
- Fastest growth in Twitter experts.
- Democratization: there will be GPT-4's from big corps, and Alpaca's from grassroots.

[Tsoof Bar Or @tsoofbaror]

לייבטויט מהשיחה של סאם אלטמן באונ' תל אביב.
לא בלייב, כי לא הייתי שם.
רואה את ההקלטה וזורק כאן את כל המחשבות שלי פלוס תמלול.
אז:
סם אלטמן, מנכ"ל OpenAI והשם שחלקכם פחות מכירים - איליה סוצקבר, המדען הראשי של OpenAI שהוא ישראלי לשעבר שלמד פה בארץ. >>
https://t.co/JgJnLWBRGK

[Ron Vainshtein @ronvain]

Bard's draft 2 is almost always better

[Elad Richardson @EladRichardson]

Nice, love the concept 📦

[Ron Vainshtein @ronvain]

Hands down the best way to handle configs in your python code.
Definitely give this a try, I'm a huge fan 🐉

[Elad Richardson @EladRichardson]

"Pyrallis, a year has passed
And your library's made coding a blast
Configuring projects is now so swift
And it's all thanks to your magical gift"
- ChatGPT

Pyrallis is celebrating its first birthday with 20K+ installs 😊🎂

Join the configvolution 🐉https://t.co/XTJcZKBna5